Meta-Genetic Programming: Co-evolving the Operators of Variation

@TechReport{edmonds:1998:mGPcov,
author = "Bruce Edmonds",
title = "Meta-Genetic Programming: Co-evolving the Operators of
Variation",
institution = "Centre for Policy Modelling, Manchester Metropolitan
University, UK",
year = "1998",
type = "CPM Report",
number = "98-32",
address = "Aytoun St., Manchester, M1 3GH. UK",
month = jan,
keywords = "genetic algorithms, genetic programming, automatic
programming, genetic operators, co-evolution",
URL = "http://cogprints.org/513/00/mgp.pdf",
URL = "http://cogprints.ecs.soton.ac.uk/archive/00000513/",
URL = "http://www.cpm.mmu.ac.uk/cpmrep32.html",
abstract = "The standard Genetic Programming approach is augmented
by co-evolving the genetic operators. To do this the
operators are coded as trees of indefinite length. In
order for this technique to work, the language that the
operators are defined in must be such that it preserves
the variation in the base population. This technique
can varied by adding further populations of operators
and changing which populations act as operators for
others, including itself, thus to provide a framework
for a whole set of augmented GP techniques. The
technique is tested on the parity problem. The pros and
cons of the technique are discussed.",
notes = "see \cite{edmonds:2001:mGPcov}",
size = "18 pages",
}